Description
is the ultimate guide to exploring sports analytics using R, with a special focus on the world’s most popular sport〞soccer. From data collection and preprocessing to advanced machine learning models, this book provides a comprehensive, hands-on approach to soccer analytics with real-world applications.
You will learn how to:
? Extract and process soccer data from various sources, including APIs and public repositories.
? Visualize and analyze data using tools like ggplot2, Plotly, and Shiny.
? Apply advanced statistical techniques, from regression and time-series analysis to heatmaps and passing networks.
? Build predictive models using machine learning to forecast match outcomes and evaluate player performance.
? Implement data-driven tactics and strategies, with case studies on scouting, market valuation, and real-time game analysis.
With a structured, practical approach,
is perfect for data analysts, sports scientists, coaches, and soccer enthusiasts looking to dive into advanced analytics. Get ready to explore how data is transforming soccer and how you can leverage R to gain actionable insights on and off the field. ???
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